Predict Bike Sharing Demand with AutoGluon Template¶

Project: Predict Bike Sharing Demand with AutoGluon¶

This notebook is a template with each step that you need to complete for the project.

Please fill in your code where there are explicit ? markers in the notebook. You are welcome to add more cells and code as you see fit.

Once you have completed all the code implementations, please export your notebook as a HTML file so the reviews can view your code. Make sure you have all outputs correctly outputted.

File-> Export Notebook As... -> Export Notebook as HTML

There is a writeup to complete as well after all code implememtation is done. Please answer all questions and attach the necessary tables and charts. You can complete the writeup in either markdown or PDF.

Completing the code template and writeup template will cover all of the rubric points for this project.

The rubric contains "Stand Out Suggestions" for enhancing the project beyond the minimum requirements. The stand out suggestions are optional. If you decide to pursue the "stand out suggestions", you can include the code in this notebook and also discuss the results in the writeup file.

Step 1: Create an account with Kaggle¶

Create Kaggle Account and download API key¶

Below is example of steps to get the API username and key. Each student will have their own username and key.

  1. Open account settings. kaggle1.png kaggle2.png
  2. Scroll down to API and click Create New API Token. kaggle3.png kaggle4.png
  3. Open up kaggle.json and use the username and key. kaggle5.png

Step 2: Download the Kaggle dataset using the kaggle python library¶

Open up Sagemaker Studio and use starter template¶

  1. Notebook should be using a ml.t3.medium instance (2 vCPU + 4 GiB)
  2. Notebook should be using kernal: Python 3 (MXNet 1.8 Python 3.7 CPU Optimized)

Install packages¶

In [6]:
!pip install -U pip
!pip install -U setuptools wheel
!pip install -U "mxnet<2.0.0" bokeh==2.0.1
!pip install autogluon --no-cache-dir
# Without --no-cache-dir, smaller aws instances may have trouble installing
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DEPRECATION: pytorch-lightning 1.7.7 has a non-standard dependency specifier torch>=1.9.*. pip 23.3 will enforce this behaviour change. A possible replacement is to upgrade to a newer version of pytorch-lightning or contact the author to suggest that they release a version with a conforming dependency specifiers. Discussion can be found at https://github.com/pypa/pip/issues/12063
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WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv

Setup Kaggle API Key¶

In [8]:
!pip install python-dotenv
Collecting python-dotenv
  Downloading python_dotenv-0.21.1-py3-none-any.whl (19 kB)
DEPRECATION: pytorch-lightning 1.7.7 has a non-standard dependency specifier torch>=1.9.*. pip 23.3 will enforce this behaviour change. A possible replacement is to upgrade to a newer version of pytorch-lightning or contact the author to suggest that they release a version with a conforming dependency specifiers. Discussion can be found at https://github.com/pypa/pip/issues/12063
Installing collected packages: python-dotenv
Successfully installed python-dotenv-0.21.1
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
In [9]:
!echo "KAGGLE_USERNAME=urmiltamboli" >> pass.env
!echo "KAGGLE_KEY=cfdf95d8740fdd79f343e9e3d95c60aa" >> pass.env
In [10]:
from dotenv import dotenv_values

CONFIG = dotenv_values('pass.env')

kaggle_username = CONFIG['KAGGLE_USERNAME']
kaggle_key = CONFIG['KAGGLE_KEY']
In [11]:
# create the .kaggle directory and an empty kaggle.json file
!pip install kaggle
!mkdir -p /root/.kaggle
!touch /root/.kaggle/kaggle.json
!chmod 600 /root/.kaggle/kaggle.json
# import os 
# cwd = os.getcwd()
# cwd
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DEPRECATION: pytorch-lightning 1.7.7 has a non-standard dependency specifier torch>=1.9.*. pip 23.3 will enforce this behaviour change. A possible replacement is to upgrade to a newer version of pytorch-lightning or contact the author to suggest that they release a version with a conforming dependency specifiers. Discussion can be found at https://github.com/pypa/pip/issues/12063
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv

Download and explore dataset¶

Go to the bike sharing demand competition and agree to the terms¶

kaggle6.png

In [12]:
# Download the dataset, it will be in a .zip file so you'll need to unzip it as well.
!kaggle competitions download -c bike-sharing-demand

# If you already downloaded it you can use the -o command to overwrite the file
!unzip -o bike-sharing-demand.zip
bike-sharing-demand.zip: Skipping, found more recently modified local copy (use --force to force download)
Archive:  bike-sharing-demand.zip
  inflating: sampleSubmission.csv    
  inflating: test.csv                
  inflating: train.csv               
In [134]:
import pandas as pd
from autogluon.tabular import TabularPredictor
import autogluon.core as ag
In [135]:
# Create the train dataset in pandas by reading the csv
# Set the parsing of the datetime column so you can use some of the `dt` features in pandas later
train = pd.read_csv('train.csv',parse_dates = ["datetime"])
train.head()
Out[135]:
datetime season holiday workingday weather temp atemp humidity windspeed casual registered count
0 2011-01-01 00:00:00 1 0 0 1 9.84 14.395 81 0.0 3 13 16
1 2011-01-01 01:00:00 1 0 0 1 9.02 13.635 80 0.0 8 32 40
2 2011-01-01 02:00:00 1 0 0 1 9.02 13.635 80 0.0 5 27 32
3 2011-01-01 03:00:00 1 0 0 1 9.84 14.395 75 0.0 3 10 13
4 2011-01-01 04:00:00 1 0 0 1 9.84 14.395 75 0.0 0 1 1
In [136]:
# Simple output of the train dataset to view some of the min/max/varition of the dataset features.
train.describe()
Out[136]:
season holiday workingday weather temp atemp humidity windspeed casual registered count
count 10886.000000 10886.000000 10886.000000 10886.000000 10886.00000 10886.000000 10886.000000 10886.000000 10886.000000 10886.000000 10886.000000
mean 2.506614 0.028569 0.680875 1.418427 20.23086 23.655084 61.886460 12.799395 36.021955 155.552177 191.574132
std 1.116174 0.166599 0.466159 0.633839 7.79159 8.474601 19.245033 8.164537 49.960477 151.039033 181.144454
min 1.000000 0.000000 0.000000 1.000000 0.82000 0.760000 0.000000 0.000000 0.000000 0.000000 1.000000
25% 2.000000 0.000000 0.000000 1.000000 13.94000 16.665000 47.000000 7.001500 4.000000 36.000000 42.000000
50% 3.000000 0.000000 1.000000 1.000000 20.50000 24.240000 62.000000 12.998000 17.000000 118.000000 145.000000
75% 4.000000 0.000000 1.000000 2.000000 26.24000 31.060000 77.000000 16.997900 49.000000 222.000000 284.000000
max 4.000000 1.000000 1.000000 4.000000 41.00000 45.455000 100.000000 56.996900 367.000000 886.000000 977.000000
In [137]:
# Create the test pandas dataframe in pandas by reading the csv, remember to parse the datetime!
test = pd.read_csv('test.csv',parse_dates = ["datetime"])
test.head()
Out[137]:
datetime season holiday workingday weather temp atemp humidity windspeed
0 2011-01-20 00:00:00 1 0 1 1 10.66 11.365 56 26.0027
1 2011-01-20 01:00:00 1 0 1 1 10.66 13.635 56 0.0000
2 2011-01-20 02:00:00 1 0 1 1 10.66 13.635 56 0.0000
3 2011-01-20 03:00:00 1 0 1 1 10.66 12.880 56 11.0014
4 2011-01-20 04:00:00 1 0 1 1 10.66 12.880 56 11.0014
In [138]:
# Same thing as train and test dataset
submission = pd.read_csv('sampleSubmission.csv')
submission.head()
Out[138]:
datetime count
0 2011-01-20 00:00:00 0
1 2011-01-20 01:00:00 0
2 2011-01-20 02:00:00 0
3 2011-01-20 03:00:00 0
4 2011-01-20 04:00:00 0

Step 3: Train a model using AutoGluon’s Tabular Prediction¶

Requirements:

  • We are prediting count, so it is the label we are setting.
  • Ignore casual and registered columns as they are also not present in the test dataset.
  • Use the root_mean_squared_error as the metric to use for evaluation.
  • Set a time limit of 10 minutes (600 seconds).
  • Use the preset best_quality to focus on creating the best model.
In [139]:
train = train.drop(['casual','registered'],axis = 1)
In [88]:
predictor = TabularPredictor(label = 'count', eval_metric = 'rmse').fit(train, time_limit = 600, presets = 'best_quality')
No path specified. Models will be saved in: "AutogluonModels/ag-20230716_211526/"
Presets specified: ['best_quality']
Stack configuration (auto_stack=True): num_stack_levels=1, num_bag_folds=8, num_bag_sets=20
Beginning AutoGluon training ... Time limit = 600s
AutoGluon will save models to "AutogluonModels/ag-20230716_211526/"
AutoGluon Version:  0.6.2
Python Version:     3.7.10
Operating System:   Linux
Platform Machine:   x86_64
Platform Version:   #1 SMP Tue May 23 16:44:05 UTC 2023
Train Data Rows:    10886
Train Data Columns: 9
Label Column: count
Preprocessing data ...
AutoGluon infers your prediction problem is: 'regression' (because dtype of label-column == int and many unique label-values observed).
	Label info (max, min, mean, stddev): (977, 1, 191.57413, 181.14445)
	If 'regression' is not the correct problem_type, please manually specify the problem_type parameter during predictor init (You may specify problem_type as one of: ['binary', 'multiclass', 'regression'])
Using Feature Generators to preprocess the data ...
Fitting AutoMLPipelineFeatureGenerator...
	Available Memory:                    1929.7 MB
	Train Data (Original)  Memory Usage: 0.78 MB (0.0% of available memory)
	Inferring data type of each feature based on column values. Set feature_metadata_in to manually specify special dtypes of the features.
	Stage 1 Generators:
		Fitting AsTypeFeatureGenerator...
			Note: Converting 2 features to boolean dtype as they only contain 2 unique values.
	Stage 2 Generators:
		Fitting FillNaFeatureGenerator...
	Stage 3 Generators:
		Fitting IdentityFeatureGenerator...
		Fitting DatetimeFeatureGenerator...
/usr/local/lib/python3.7/site-packages/autogluon/features/generators/datetime.py:59: FutureWarning: casting datetime64[ns, UTC] values to int64 with .astype(...) is deprecated and will raise in a future version. Use .view(...) instead.
  good_rows = series[~series.isin(bad_rows)].astype(np.int64)
	Stage 4 Generators:
		Fitting DropUniqueFeatureGenerator...
	Types of features in original data (raw dtype, special dtypes):
		('datetime', []) : 1 | ['datetime']
		('float', [])    : 3 | ['temp', 'atemp', 'windspeed']
		('int', [])      : 5 | ['season', 'holiday', 'workingday', 'weather', 'humidity']
	Types of features in processed data (raw dtype, special dtypes):
		('float', [])                : 3 | ['temp', 'atemp', 'windspeed']
		('int', [])                  : 3 | ['season', 'weather', 'humidity']
		('int', ['bool'])            : 2 | ['holiday', 'workingday']
		('int', ['datetime_as_int']) : 5 | ['datetime', 'datetime.year', 'datetime.month', 'datetime.day', 'datetime.dayofweek']
	0.2s = Fit runtime
	9 features in original data used to generate 13 features in processed data.
	Train Data (Processed) Memory Usage: 0.98 MB (0.1% of available memory)
Data preprocessing and feature engineering runtime = 0.27s ...
AutoGluon will gauge predictive performance using evaluation metric: 'root_mean_squared_error'
	This metric's sign has been flipped to adhere to being higher_is_better. The metric score can be multiplied by -1 to get the metric value.
	To change this, specify the eval_metric parameter of Predictor()
AutoGluon will fit 2 stack levels (L1 to L2) ...
Fitting 11 L1 models ...
Fitting model: KNeighborsUnif_BAG_L1 ... Training model for up to 399.72s of the 599.72s of remaining time.
	-101.5462	 = Validation score   (-root_mean_squared_error)
	0.04s	 = Training   runtime
	0.12s	 = Validation runtime
Fitting model: KNeighborsDist_BAG_L1 ... Training model for up to 399.28s of the 599.28s of remaining time.
	-84.1251	 = Validation score   (-root_mean_squared_error)
	0.04s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBMXT_BAG_L1 ... Training model for up to 398.85s of the 598.86s of remaining time.
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
	-131.4609	 = Validation score   (-root_mean_squared_error)
	74.21s	 = Training   runtime
	9.6s	 = Validation runtime
Fitting model: LightGBM_BAG_L1 ... Training model for up to 317.7s of the 517.7s of remaining time.
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
	-131.0542	 = Validation score   (-root_mean_squared_error)
	31.92s	 = Training   runtime
	1.48s	 = Validation runtime
Fitting model: RandomForestMSE_BAG_L1 ... Training model for up to 281.32s of the 481.33s of remaining time.
	-116.5443	 = Validation score   (-root_mean_squared_error)
	12.51s	 = Training   runtime
	0.67s	 = Validation runtime
Fitting model: CatBoost_BAG_L1 ... Training model for up to 265.42s of the 465.42s of remaining time.
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
	-130.54	 = Validation score   (-root_mean_squared_error)
	199.59s	 = Training   runtime
	0.14s	 = Validation runtime
Fitting model: ExtraTreesMSE_BAG_L1 ... Training model for up to 61.53s of the 261.54s of remaining time.
	-124.5881	 = Validation score   (-root_mean_squared_error)
	5.06s	 = Training   runtime
	0.52s	 = Validation runtime
Fitting model: NeuralNetFastAI_BAG_L1 ... Training model for up to 53.37s of the 253.37s of remaining time.
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
	-138.8115	 = Validation score   (-root_mean_squared_error)
	69.72s	 = Training   runtime
	0.51s	 = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L2 ... Training model for up to 360.0s of the 179.38s of remaining time.
	-84.1251	 = Validation score   (-root_mean_squared_error)
	0.68s	 = Training   runtime
	0.0s	 = Validation runtime
Fitting 9 L2 models ...
Fitting model: LightGBMXT_BAG_L2 ... Training model for up to 178.62s of the 178.6s of remaining time.
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
	-60.2615	 = Validation score   (-root_mean_squared_error)
	61.98s	 = Training   runtime
	4.03s	 = Validation runtime
Fitting model: LightGBM_BAG_L2 ... Training model for up to 110.96s of the 110.94s of remaining time.
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
	-54.99	 = Validation score   (-root_mean_squared_error)
	28.57s	 = Training   runtime
	0.26s	 = Validation runtime
Fitting model: RandomForestMSE_BAG_L2 ... Training model for up to 77.67s of the 77.65s of remaining time.
	-53.2953	 = Validation score   (-root_mean_squared_error)
	30.44s	 = Training   runtime
	0.65s	 = Validation runtime
Fitting model: CatBoost_BAG_L2 ... Training model for up to 44.12s of the 44.1s of remaining time.
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
	-55.8532	 = Validation score   (-root_mean_squared_error)
	49.87s	 = Training   runtime
	0.05s	 = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L3 ... Training model for up to 360.0s of the -9.94s of remaining time.
	-53.0118	 = Validation score   (-root_mean_squared_error)
	0.34s	 = Training   runtime
	0.0s	 = Validation runtime
AutoGluon training complete, total runtime = 610.5s ... Best model: "WeightedEnsemble_L3"
TabularPredictor saved. To load, use: predictor = TabularPredictor.load("AutogluonModels/ag-20230716_211526/")

Review AutoGluon's training run with ranking of models that did the best.¶

In [90]:
predictor.fit_summary()
*** Summary of fit() ***
Estimated performance of each model:
                     model   score_val  pred_time_val    fit_time  pred_time_val_marginal  fit_time_marginal  stack_level  can_infer  fit_order
0      WeightedEnsemble_L3  -53.011781      18.127382  564.280107                0.000911           0.339106            3       True         14
1   RandomForestMSE_BAG_L2  -53.295324      13.790821  423.519920                0.646471          30.436101            2       True         12
2          LightGBM_BAG_L2  -54.990029      13.403950  421.651002                0.259600          28.567183            2       True         11
3          CatBoost_BAG_L2  -55.853232      13.195252  442.953858                0.050901          49.870039            2       True         13
4        LightGBMXT_BAG_L2  -60.261460      17.169500  455.067678                4.025149          61.983860            2       True         10
5    KNeighborsDist_BAG_L1  -84.125061       0.104428    0.037621                0.104428           0.037621            1       True          2
6      WeightedEnsemble_L2  -84.125061       0.105423    0.713909                0.000996           0.676288            2       True          9
7    KNeighborsUnif_BAG_L1 -101.546199       0.117123    0.041065                0.117123           0.041065            1       True          1
8   RandomForestMSE_BAG_L1 -116.544294       0.665931   12.510792                0.665931          12.510792            1       True          5
9     ExtraTreesMSE_BAG_L1 -124.588053       0.521157    5.057163                0.521157           5.057163            1       True          7
10         CatBoost_BAG_L1 -130.540039       0.141469  199.586388                0.141469         199.586388            1       True          6
11         LightGBM_BAG_L1 -131.054162       1.482474   31.920640                1.482474          31.920640            1       True          4
12       LightGBMXT_BAG_L1 -131.460909       9.601838   74.207117                9.601838          74.207117            1       True          3
13  NeuralNetFastAI_BAG_L1 -138.811474       0.509932   69.723033                0.509932          69.723033            1       True          8
Number of models trained: 14
Types of models trained:
{'StackerEnsembleModel_CatBoost', 'StackerEnsembleModel_RF', 'WeightedEnsembleModel', 'StackerEnsembleModel_LGB', 'StackerEnsembleModel_KNN', 'StackerEnsembleModel_NNFastAiTabular', 'StackerEnsembleModel_XT'}
Bagging used: True  (with 8 folds)
Multi-layer stack-ensembling used: True  (with 3 levels)
Feature Metadata (Processed):
(raw dtype, special dtypes):
('float', [])                : 3 | ['temp', 'atemp', 'windspeed']
('int', [])                  : 3 | ['season', 'weather', 'humidity']
('int', ['bool'])            : 2 | ['holiday', 'workingday']
('int', ['datetime_as_int']) : 5 | ['datetime', 'datetime.year', 'datetime.month', 'datetime.day', 'datetime.dayofweek']
Plot summary of models saved to file: AutogluonModels/ag-20230716_211526/SummaryOfModels.html
*** End of fit() summary ***
Out[90]:
{'model_types': {'KNeighborsUnif_BAG_L1': 'StackerEnsembleModel_KNN',
  'KNeighborsDist_BAG_L1': 'StackerEnsembleModel_KNN',
  'LightGBMXT_BAG_L1': 'StackerEnsembleModel_LGB',
  'LightGBM_BAG_L1': 'StackerEnsembleModel_LGB',
  'RandomForestMSE_BAG_L1': 'StackerEnsembleModel_RF',
  'CatBoost_BAG_L1': 'StackerEnsembleModel_CatBoost',
  'ExtraTreesMSE_BAG_L1': 'StackerEnsembleModel_XT',
  'NeuralNetFastAI_BAG_L1': 'StackerEnsembleModel_NNFastAiTabular',
  'WeightedEnsemble_L2': 'WeightedEnsembleModel',
  'LightGBMXT_BAG_L2': 'StackerEnsembleModel_LGB',
  'LightGBM_BAG_L2': 'StackerEnsembleModel_LGB',
  'RandomForestMSE_BAG_L2': 'StackerEnsembleModel_RF',
  'CatBoost_BAG_L2': 'StackerEnsembleModel_CatBoost',
  'WeightedEnsemble_L3': 'WeightedEnsembleModel'},
 'model_performance': {'KNeighborsUnif_BAG_L1': -101.54619908446061,
  'KNeighborsDist_BAG_L1': -84.12506123181602,
  'LightGBMXT_BAG_L1': -131.46090891834504,
  'LightGBM_BAG_L1': -131.054161598899,
  'RandomForestMSE_BAG_L1': -116.54429428704391,
  'CatBoost_BAG_L1': -130.54003860043005,
  'ExtraTreesMSE_BAG_L1': -124.58805258915959,
  'NeuralNetFastAI_BAG_L1': -138.8114742785318,
  'WeightedEnsemble_L2': -84.12506123181602,
  'LightGBMXT_BAG_L2': -60.261459909184495,
  'LightGBM_BAG_L2': -54.99002890687677,
  'RandomForestMSE_BAG_L2': -53.29532400253989,
  'CatBoost_BAG_L2': -55.85323165855125,
  'WeightedEnsemble_L3': -53.01178111476263},
 'model_best': 'WeightedEnsemble_L3',
 'model_paths': {'KNeighborsUnif_BAG_L1': 'AutogluonModels/ag-20230716_211526/models/KNeighborsUnif_BAG_L1/',
  'KNeighborsDist_BAG_L1': 'AutogluonModels/ag-20230716_211526/models/KNeighborsDist_BAG_L1/',
  'LightGBMXT_BAG_L1': 'AutogluonModels/ag-20230716_211526/models/LightGBMXT_BAG_L1/',
  'LightGBM_BAG_L1': 'AutogluonModels/ag-20230716_211526/models/LightGBM_BAG_L1/',
  'RandomForestMSE_BAG_L1': 'AutogluonModels/ag-20230716_211526/models/RandomForestMSE_BAG_L1/',
  'CatBoost_BAG_L1': 'AutogluonModels/ag-20230716_211526/models/CatBoost_BAG_L1/',
  'ExtraTreesMSE_BAG_L1': 'AutogluonModels/ag-20230716_211526/models/ExtraTreesMSE_BAG_L1/',
  'NeuralNetFastAI_BAG_L1': 'AutogluonModels/ag-20230716_211526/models/NeuralNetFastAI_BAG_L1/',
  'WeightedEnsemble_L2': 'AutogluonModels/ag-20230716_211526/models/WeightedEnsemble_L2/',
  'LightGBMXT_BAG_L2': 'AutogluonModels/ag-20230716_211526/models/LightGBMXT_BAG_L2/',
  'LightGBM_BAG_L2': 'AutogluonModels/ag-20230716_211526/models/LightGBM_BAG_L2/',
  'RandomForestMSE_BAG_L2': 'AutogluonModels/ag-20230716_211526/models/RandomForestMSE_BAG_L2/',
  'CatBoost_BAG_L2': 'AutogluonModels/ag-20230716_211526/models/CatBoost_BAG_L2/',
  'WeightedEnsemble_L3': 'AutogluonModels/ag-20230716_211526/models/WeightedEnsemble_L3/'},
 'model_fit_times': {'KNeighborsUnif_BAG_L1': 0.041065216064453125,
  'KNeighborsDist_BAG_L1': 0.037621498107910156,
  'LightGBMXT_BAG_L1': 74.2071168422699,
  'LightGBM_BAG_L1': 31.920639753341675,
  'RandomForestMSE_BAG_L1': 12.510791540145874,
  'CatBoost_BAG_L1': 199.58638834953308,
  'ExtraTreesMSE_BAG_L1': 5.057162761688232,
  'NeuralNetFastAI_BAG_L1': 69.72303295135498,
  'WeightedEnsemble_L2': 0.6762878894805908,
  'LightGBMXT_BAG_L2': 61.98385953903198,
  'LightGBM_BAG_L2': 28.567182779312134,
  'RandomForestMSE_BAG_L2': 30.436100959777832,
  'CatBoost_BAG_L2': 49.870038986206055,
  'WeightedEnsemble_L3': 0.33910608291625977},
 'model_pred_times': {'KNeighborsUnif_BAG_L1': 0.11712265014648438,
  'KNeighborsDist_BAG_L1': 0.10442757606506348,
  'LightGBMXT_BAG_L1': 9.60183835029602,
  'LightGBM_BAG_L1': 1.4824743270874023,
  'RandomForestMSE_BAG_L1': 0.6659307479858398,
  'CatBoost_BAG_L1': 0.14146900177001953,
  'ExtraTreesMSE_BAG_L1': 0.5211565494537354,
  'NeuralNetFastAI_BAG_L1': 0.5099315643310547,
  'WeightedEnsemble_L2': 0.000995635986328125,
  'LightGBMXT_BAG_L2': 4.02514910697937,
  'LightGBM_BAG_L2': 0.2595996856689453,
  'RandomForestMSE_BAG_L2': 0.6464705467224121,
  'CatBoost_BAG_L2': 0.050901174545288086,
  'WeightedEnsemble_L3': 0.0009105205535888672},
 'num_bag_folds': 8,
 'max_stack_level': 3,
 'model_hyperparams': {'KNeighborsUnif_BAG_L1': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True,
   'use_child_oof': True},
  'KNeighborsDist_BAG_L1': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True,
   'use_child_oof': True},
  'LightGBMXT_BAG_L1': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'LightGBM_BAG_L1': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'RandomForestMSE_BAG_L1': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True,
   'use_child_oof': True},
  'CatBoost_BAG_L1': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'ExtraTreesMSE_BAG_L1': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True,
   'use_child_oof': True},
  'NeuralNetFastAI_BAG_L1': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'WeightedEnsemble_L2': {'use_orig_features': False,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'LightGBMXT_BAG_L2': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'LightGBM_BAG_L2': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'RandomForestMSE_BAG_L2': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True,
   'use_child_oof': True},
  'CatBoost_BAG_L2': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'WeightedEnsemble_L3': {'use_orig_features': False,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True}},
 'leaderboard':                      model   score_val  pred_time_val    fit_time  \
 0      WeightedEnsemble_L3  -53.011781      18.127382  564.280107   
 1   RandomForestMSE_BAG_L2  -53.295324      13.790821  423.519920   
 2          LightGBM_BAG_L2  -54.990029      13.403950  421.651002   
 3          CatBoost_BAG_L2  -55.853232      13.195252  442.953858   
 4        LightGBMXT_BAG_L2  -60.261460      17.169500  455.067678   
 5    KNeighborsDist_BAG_L1  -84.125061       0.104428    0.037621   
 6      WeightedEnsemble_L2  -84.125061       0.105423    0.713909   
 7    KNeighborsUnif_BAG_L1 -101.546199       0.117123    0.041065   
 8   RandomForestMSE_BAG_L1 -116.544294       0.665931   12.510792   
 9     ExtraTreesMSE_BAG_L1 -124.588053       0.521157    5.057163   
 10         CatBoost_BAG_L1 -130.540039       0.141469  199.586388   
 11         LightGBM_BAG_L1 -131.054162       1.482474   31.920640   
 12       LightGBMXT_BAG_L1 -131.460909       9.601838   74.207117   
 13  NeuralNetFastAI_BAG_L1 -138.811474       0.509932   69.723033   
 
     pred_time_val_marginal  fit_time_marginal  stack_level  can_infer  \
 0                 0.000911           0.339106            3       True   
 1                 0.646471          30.436101            2       True   
 2                 0.259600          28.567183            2       True   
 3                 0.050901          49.870039            2       True   
 4                 4.025149          61.983860            2       True   
 5                 0.104428           0.037621            1       True   
 6                 0.000996           0.676288            2       True   
 7                 0.117123           0.041065            1       True   
 8                 0.665931          12.510792            1       True   
 9                 0.521157           5.057163            1       True   
 10                0.141469         199.586388            1       True   
 11                1.482474          31.920640            1       True   
 12                9.601838          74.207117            1       True   
 13                0.509932          69.723033            1       True   
 
     fit_order  
 0          14  
 1          12  
 2          11  
 3          13  
 4          10  
 5           2  
 6           9  
 7           1  
 8           5  
 9           7  
 10          6  
 11          4  
 12          3  
 13          8  }

Create predictions from test dataset¶

In [91]:
predictions = predictor.predict(test)
predictions.head()
Out[91]:
0    22.683128
1    41.650959
2    45.937160
3    49.239330
4    51.562477
Name: count, dtype: float32

NOTE: Kaggle will reject the submission if we don't set everything to be > 0.¶

In [92]:
# Describe the `predictions` series to see if there are any negative values
predictions.describe()
Out[92]:
count    6493.000000
mean      100.539040
std        89.739159
min         3.263001
25%        19.608616
50%        63.733551
75%       168.038925
max       365.447327
Name: count, dtype: float64
In [93]:
# How many negative values do we have?
predictions[predictions<0]
Out[93]:
Series([], Name: count, dtype: float32)
In [94]:
# Set them to zero
predictions[predictions<0] = 0

Set predictions to submission dataframe, save, and submit¶

In [95]:
submission["count"] = predictions
submission.to_csv("submission.csv", index=False)
In [99]:
!kaggle competitions submit -c bike-sharing-demand -f submission.csv -m "first raw submission"
100%|█████████████████████████████████████████| 188k/188k [00:00<00:00, 416kB/s]
Successfully submitted to Bike Sharing Demand

View submission via the command line or in the web browser under the competition's page - My Submissions¶

In [100]:
!kaggle competitions submissions -c bike-sharing-demand | tail -n +1 | head -n 6
fileName                     date                 description                        status    publicScore  privateScore  
---------------------------  -------------------  ---------------------------------  --------  -----------  ------------  
submission.csv               2023-07-16 21:32:03  first raw submission               complete  1.79875      1.79875       
submission.csv               2023-07-16 21:13:57  first raw submission               complete  0.64965      0.64965       
submission_new_hpo.csv       2023-07-16 20:48:29  new features with hyperparameters  complete  0.47569      0.47569       
submission_new_hpo.csv       2023-07-15 01:17:00  new features with hyperparameters  complete  1.31864      1.31864       

Initial score of 1.79¶

Step 4: Exploratory Data Analysis and Creating an additional feature¶

  • Any additional feature will do, but a great suggestion would be to separate out the datetime into hour, day, or month parts.
In [101]:
# Create a histogram of all features to show the distribution of each one relative to the data. This is part of the exploritory data analysis
train.hist(figsize=(20,20))
Out[101]:
array([[<AxesSubplot:title={'center':'datetime'}>,
        <AxesSubplot:title={'center':'season'}>,
        <AxesSubplot:title={'center':'holiday'}>],
       [<AxesSubplot:title={'center':'workingday'}>,
        <AxesSubplot:title={'center':'weather'}>,
        <AxesSubplot:title={'center':'temp'}>],
       [<AxesSubplot:title={'center':'atemp'}>,
        <AxesSubplot:title={'center':'humidity'}>,
        <AxesSubplot:title={'center':'windspeed'}>],
       [<AxesSubplot:title={'center':'count'}>, <AxesSubplot:>,
        <AxesSubplot:>]], dtype=object)
In [140]:
pd.to_datetime(train.datetime).dt.day
pd.to_datetime(train.datetime).dt.month
pd.to_datetime(train.datetime).dt.year
pd.to_datetime(train.datetime).dt.dayofweek
Out[140]:
0        5
1        5
2        5
3        5
4        5
        ..
10881    2
10882    2
10883    2
10884    2
10885    2
Name: datetime, Length: 10886, dtype: int64
In [141]:
# create a new feature
train['year'] = pd.to_datetime(train.datetime).dt.year
train['month'] = pd.to_datetime(train.datetime).dt.month
train['day'] = pd.to_datetime(train.datetime).dt.day
# train['dow'] = pd.to_datetime(train.datetime).dt.dayofweek
# train['hour'] = pd.to_datetime(train.datetime).dt.hour

test['year'] = pd.to_datetime(test.datetime).dt.year
test['month'] = pd.to_datetime(test.datetime).dt.month
test['day'] = pd.to_datetime(test.datetime).dt.day
# test['dow'] = pd.to_datetime(test.datetime).dt.dayofweek
# test['hour'] = pd.to_datetime(test.datetime).dt.hour

Make category types for these so models know they are not just numbers¶

  • AutoGluon originally sees these as ints, but in reality they are int representations of a category.
  • Setting the dtype to category will classify these as categories in AutoGluon.
In [142]:
train["season"] = train["season"].astype('category')
train["weather"] = train["weather"].astype('category')
test["season"] = test["season"].astype('category')
test["weather"] = test["weather"].astype('category')

train["holiday"] = train["holiday"].astype("category")
train["workingday"] = train["workingday"].astype("category")
test["holiday"] = test["holiday"].astype("category")
test["workingday"] = test["workingday"].astype("category")
In [143]:
# View are new feature
train.head()
Out[143]:
datetime season holiday workingday weather temp atemp humidity windspeed count year month day
0 2011-01-01 00:00:00 1 0 0 1 9.84 14.395 81 0.0 16 2011 1 1
1 2011-01-01 01:00:00 1 0 0 1 9.02 13.635 80 0.0 40 2011 1 1
2 2011-01-01 02:00:00 1 0 0 1 9.02 13.635 80 0.0 32 2011 1 1
3 2011-01-01 03:00:00 1 0 0 1 9.84 14.395 75 0.0 13 2011 1 1
4 2011-01-01 04:00:00 1 0 0 1 9.84 14.395 75 0.0 1 2011 1 1
In [144]:
# View histogram of all features again now with the hour feature
train.hist(figsize = (20,10))
Out[144]:
array([[<AxesSubplot:title={'center':'datetime'}>,
        <AxesSubplot:title={'center':'temp'}>,
        <AxesSubplot:title={'center':'atemp'}>],
       [<AxesSubplot:title={'center':'humidity'}>,
        <AxesSubplot:title={'center':'windspeed'}>,
        <AxesSubplot:title={'center':'count'}>],
       [<AxesSubplot:title={'center':'year'}>,
        <AxesSubplot:title={'center':'month'}>,
        <AxesSubplot:title={'center':'day'}>]], dtype=object)

Step 5: Rerun the model with the same settings as before, just with more features¶

In [145]:
predictor_new_features = TabularPredictor(label = 'count', eval_metric = 'rmse').fit(train, time_limit = 600, presets = 'best_quality')
No path specified. Models will be saved in: "AutogluonModels/ag-20230716_220137/"
Presets specified: ['best_quality']
Stack configuration (auto_stack=True): num_stack_levels=1, num_bag_folds=8, num_bag_sets=20
Beginning AutoGluon training ... Time limit = 600s
AutoGluon will save models to "AutogluonModels/ag-20230716_220137/"
AutoGluon Version:  0.6.2
Python Version:     3.7.10
Operating System:   Linux
Platform Machine:   x86_64
Platform Version:   #1 SMP Tue May 23 16:44:05 UTC 2023
Train Data Rows:    10886
Train Data Columns: 12
Label Column: count
Preprocessing data ...
AutoGluon infers your prediction problem is: 'regression' (because dtype of label-column == int and many unique label-values observed).
	Label info (max, min, mean, stddev): (977, 1, 191.57413, 181.14445)
	If 'regression' is not the correct problem_type, please manually specify the problem_type parameter during predictor init (You may specify problem_type as one of: ['binary', 'multiclass', 'regression'])
Using Feature Generators to preprocess the data ...
Fitting AutoMLPipelineFeatureGenerator...
	Available Memory:                    1828.65 MB
	Train Data (Original)  Memory Usage: 0.74 MB (0.0% of available memory)
	Inferring data type of each feature based on column values. Set feature_metadata_in to manually specify special dtypes of the features.
	Stage 1 Generators:
		Fitting AsTypeFeatureGenerator...
			Note: Converting 3 features to boolean dtype as they only contain 2 unique values.
	Stage 2 Generators:
		Fitting FillNaFeatureGenerator...
	Stage 3 Generators:
		Fitting IdentityFeatureGenerator...
		Fitting CategoryFeatureGenerator...
			Fitting CategoryMemoryMinimizeFeatureGenerator...
		Fitting DatetimeFeatureGenerator...
/usr/local/lib/python3.7/site-packages/autogluon/features/generators/datetime.py:59: FutureWarning: casting datetime64[ns, UTC] values to int64 with .astype(...) is deprecated and will raise in a future version. Use .view(...) instead.
  good_rows = series[~series.isin(bad_rows)].astype(np.int64)
	Stage 4 Generators:
		Fitting DropUniqueFeatureGenerator...
	Types of features in original data (raw dtype, special dtypes):
		('category', []) : 4 | ['season', 'holiday', 'workingday', 'weather']
		('datetime', []) : 1 | ['datetime']
		('float', [])    : 3 | ['temp', 'atemp', 'windspeed']
		('int', [])      : 4 | ['humidity', 'year', 'month', 'day']
	Types of features in processed data (raw dtype, special dtypes):
		('category', [])             : 2 | ['season', 'weather']
		('float', [])                : 3 | ['temp', 'atemp', 'windspeed']
		('int', [])                  : 3 | ['humidity', 'month', 'day']
		('int', ['bool'])            : 3 | ['holiday', 'workingday', 'year']
		('int', ['datetime_as_int']) : 5 | ['datetime', 'datetime.year', 'datetime.month', 'datetime.day', 'datetime.dayofweek']
	0.2s = Fit runtime
	12 features in original data used to generate 16 features in processed data.
	Train Data (Processed) Memory Usage: 1.01 MB (0.1% of available memory)
Data preprocessing and feature engineering runtime = 0.27s ...
AutoGluon will gauge predictive performance using evaluation metric: 'root_mean_squared_error'
	This metric's sign has been flipped to adhere to being higher_is_better. The metric score can be multiplied by -1 to get the metric value.
	To change this, specify the eval_metric parameter of Predictor()
AutoGluon will fit 2 stack levels (L1 to L2) ...
Fitting 11 L1 models ...
Fitting model: KNeighborsUnif_BAG_L1 ... Training model for up to 399.72s of the 599.72s of remaining time.
	-101.5462	 = Validation score   (-root_mean_squared_error)
	0.03s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: KNeighborsDist_BAG_L1 ... Training model for up to 399.27s of the 599.28s of remaining time.
	-84.1251	 = Validation score   (-root_mean_squared_error)
	0.06s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBMXT_BAG_L1 ... Training model for up to 398.83s of the 598.84s of remaining time.
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
	-130.7732	 = Validation score   (-root_mean_squared_error)
	68.88s	 = Training   runtime
	7.54s	 = Validation runtime
Fitting model: LightGBM_BAG_L1 ... Training model for up to 322.89s of the 522.9s of remaining time.
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
	-130.6721	 = Validation score   (-root_mean_squared_error)
	36.62s	 = Training   runtime
	1.91s	 = Validation runtime
Fitting model: RandomForestMSE_BAG_L1 ... Training model for up to 281.18s of the 481.19s of remaining time.
	-116.5757	 = Validation score   (-root_mean_squared_error)
	12.58s	 = Training   runtime
	0.54s	 = Validation runtime
Fitting model: CatBoost_BAG_L1 ... Training model for up to 265.42s of the 465.43s of remaining time.
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
	-131.7145	 = Validation score   (-root_mean_squared_error)
	226.45s	 = Training   runtime
	0.24s	 = Validation runtime
Fitting model: ExtraTreesMSE_BAG_L1 ... Training model for up to 34.92s of the 234.92s of remaining time.
	-123.9947	 = Validation score   (-root_mean_squared_error)
	6.62s	 = Training   runtime
	0.63s	 = Validation runtime
Fitting model: NeuralNetFastAI_BAG_L1 ... Training model for up to 25.14s of the 225.14s of remaining time.
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
	-141.034	 = Validation score   (-root_mean_squared_error)
	47.82s	 = Training   runtime
	0.54s	 = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L2 ... Training model for up to 360.0s of the 172.95s of remaining time.
	-84.1251	 = Validation score   (-root_mean_squared_error)
	0.68s	 = Training   runtime
	0.0s	 = Validation runtime
Fitting 9 L2 models ...
Fitting model: LightGBMXT_BAG_L2 ... Training model for up to 172.19s of the 172.16s of remaining time.
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
	-60.7588	 = Validation score   (-root_mean_squared_error)
	57.99s	 = Training   runtime
	3.44s	 = Validation runtime
Fitting model: LightGBM_BAG_L2 ... Training model for up to 108.69s of the 108.66s of remaining time.
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
	-54.7821	 = Validation score   (-root_mean_squared_error)
	29.55s	 = Training   runtime
	0.36s	 = Validation runtime
Fitting model: RandomForestMSE_BAG_L2 ... Training model for up to 74.42s of the 74.39s of remaining time.
	-53.0263	 = Validation score   (-root_mean_squared_error)
	31.81s	 = Training   runtime
	0.74s	 = Validation runtime
Fitting model: CatBoost_BAG_L2 ... Training model for up to 39.42s of the 39.4s of remaining time.
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
	-57.507	 = Validation score   (-root_mean_squared_error)
	45.78s	 = Training   runtime
	0.11s	 = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L3 ... Training model for up to 360.0s of the -10.43s of remaining time.
	-52.7382	 = Validation score   (-root_mean_squared_error)
	0.38s	 = Training   runtime
	0.0s	 = Validation runtime
AutoGluon training complete, total runtime = 611.04s ... Best model: "WeightedEnsemble_L3"
TabularPredictor saved. To load, use: predictor = TabularPredictor.load("AutogluonModels/ag-20230716_220137/")
In [146]:
# predictor_new_features = TabularPredictor.load("AutogluonModels/ag-20230709_185304/")
predictor_new_features.fit_summary()
*** Summary of fit() ***
Estimated performance of each model:
                     model   score_val  pred_time_val    fit_time  pred_time_val_marginal  fit_time_marginal  stack_level  can_infer  fit_order
0      WeightedEnsemble_L3  -52.738155      16.136004  518.793613                0.001005           0.384651            3       True         14
1   RandomForestMSE_BAG_L2  -53.026317      12.342463  430.865201                0.743380          31.809759            2       True         12
2          LightGBM_BAG_L2  -54.782052      11.954232  428.605428                0.355148          29.549986            2       True         11
3          CatBoost_BAG_L2  -57.506986      11.707151  444.839218                0.108068          45.783776            2       True         13
4        LightGBMXT_BAG_L2  -60.758828      15.036472  457.049217                3.437388          57.993775            2       True         10
5    KNeighborsDist_BAG_L1  -84.125061       0.104027    0.057752                0.104027           0.057752            1       True          2
6      WeightedEnsemble_L2  -84.125061       0.105006    0.735968                0.000978           0.678216            2       True          9
7    KNeighborsUnif_BAG_L1 -101.546199       0.109205    0.034693                0.109205           0.034693            1       True          1
8   RandomForestMSE_BAG_L1 -116.575654       0.536217   12.581962                0.536217          12.581962            1       True          5
9     ExtraTreesMSE_BAG_L1 -123.994671       0.625814    6.615918                0.625814           6.615918            1       True          7
10         LightGBM_BAG_L1 -130.672051       1.909253   36.622938                1.909253          36.622938            1       True          4
11       LightGBMXT_BAG_L1 -130.773236       7.535413   68.876055                7.535413          68.876055            1       True          3
12         CatBoost_BAG_L1 -131.714517       0.240817  226.450577                0.240817         226.450577            1       True          6
13  NeuralNetFastAI_BAG_L1 -141.033959       0.538336   47.815546                0.538336          47.815546            1       True          8
Number of models trained: 14
Types of models trained:
{'StackerEnsembleModel_CatBoost', 'StackerEnsembleModel_RF', 'WeightedEnsembleModel', 'StackerEnsembleModel_LGB', 'StackerEnsembleModel_KNN', 'StackerEnsembleModel_NNFastAiTabular', 'StackerEnsembleModel_XT'}
Bagging used: True  (with 8 folds)
Multi-layer stack-ensembling used: True  (with 3 levels)
Feature Metadata (Processed):
(raw dtype, special dtypes):
('category', [])             : 2 | ['season', 'weather']
('float', [])                : 3 | ['temp', 'atemp', 'windspeed']
('int', [])                  : 3 | ['humidity', 'month', 'day']
('int', ['bool'])            : 3 | ['holiday', 'workingday', 'year']
('int', ['datetime_as_int']) : 5 | ['datetime', 'datetime.year', 'datetime.month', 'datetime.day', 'datetime.dayofweek']
Plot summary of models saved to file: AutogluonModels/ag-20230716_220137/SummaryOfModels.html
*** End of fit() summary ***
Out[146]:
{'model_types': {'KNeighborsUnif_BAG_L1': 'StackerEnsembleModel_KNN',
  'KNeighborsDist_BAG_L1': 'StackerEnsembleModel_KNN',
  'LightGBMXT_BAG_L1': 'StackerEnsembleModel_LGB',
  'LightGBM_BAG_L1': 'StackerEnsembleModel_LGB',
  'RandomForestMSE_BAG_L1': 'StackerEnsembleModel_RF',
  'CatBoost_BAG_L1': 'StackerEnsembleModel_CatBoost',
  'ExtraTreesMSE_BAG_L1': 'StackerEnsembleModel_XT',
  'NeuralNetFastAI_BAG_L1': 'StackerEnsembleModel_NNFastAiTabular',
  'WeightedEnsemble_L2': 'WeightedEnsembleModel',
  'LightGBMXT_BAG_L2': 'StackerEnsembleModel_LGB',
  'LightGBM_BAG_L2': 'StackerEnsembleModel_LGB',
  'RandomForestMSE_BAG_L2': 'StackerEnsembleModel_RF',
  'CatBoost_BAG_L2': 'StackerEnsembleModel_CatBoost',
  'WeightedEnsemble_L3': 'WeightedEnsembleModel'},
 'model_performance': {'KNeighborsUnif_BAG_L1': -101.54619908446061,
  'KNeighborsDist_BAG_L1': -84.12506123181602,
  'LightGBMXT_BAG_L1': -130.77323648150337,
  'LightGBM_BAG_L1': -130.6720510216722,
  'RandomForestMSE_BAG_L1': -116.57565404821065,
  'CatBoost_BAG_L1': -131.71451691236425,
  'ExtraTreesMSE_BAG_L1': -123.99467061779796,
  'NeuralNetFastAI_BAG_L1': -141.0339589820966,
  'WeightedEnsemble_L2': -84.12506123181602,
  'LightGBMXT_BAG_L2': -60.75882778710331,
  'LightGBM_BAG_L2': -54.78205193683017,
  'RandomForestMSE_BAG_L2': -53.02631651668507,
  'CatBoost_BAG_L2': -57.506986459878625,
  'WeightedEnsemble_L3': -52.73815501839845},
 'model_best': 'WeightedEnsemble_L3',
 'model_paths': {'KNeighborsUnif_BAG_L1': 'AutogluonModels/ag-20230716_220137/models/KNeighborsUnif_BAG_L1/',
  'KNeighborsDist_BAG_L1': 'AutogluonModels/ag-20230716_220137/models/KNeighborsDist_BAG_L1/',
  'LightGBMXT_BAG_L1': 'AutogluonModels/ag-20230716_220137/models/LightGBMXT_BAG_L1/',
  'LightGBM_BAG_L1': 'AutogluonModels/ag-20230716_220137/models/LightGBM_BAG_L1/',
  'RandomForestMSE_BAG_L1': 'AutogluonModels/ag-20230716_220137/models/RandomForestMSE_BAG_L1/',
  'CatBoost_BAG_L1': 'AutogluonModels/ag-20230716_220137/models/CatBoost_BAG_L1/',
  'ExtraTreesMSE_BAG_L1': 'AutogluonModels/ag-20230716_220137/models/ExtraTreesMSE_BAG_L1/',
  'NeuralNetFastAI_BAG_L1': 'AutogluonModels/ag-20230716_220137/models/NeuralNetFastAI_BAG_L1/',
  'WeightedEnsemble_L2': 'AutogluonModels/ag-20230716_220137/models/WeightedEnsemble_L2/',
  'LightGBMXT_BAG_L2': 'AutogluonModels/ag-20230716_220137/models/LightGBMXT_BAG_L2/',
  'LightGBM_BAG_L2': 'AutogluonModels/ag-20230716_220137/models/LightGBM_BAG_L2/',
  'RandomForestMSE_BAG_L2': 'AutogluonModels/ag-20230716_220137/models/RandomForestMSE_BAG_L2/',
  'CatBoost_BAG_L2': 'AutogluonModels/ag-20230716_220137/models/CatBoost_BAG_L2/',
  'WeightedEnsemble_L3': 'AutogluonModels/ag-20230716_220137/models/WeightedEnsemble_L3/'},
 'model_fit_times': {'KNeighborsUnif_BAG_L1': 0.034693002700805664,
  'KNeighborsDist_BAG_L1': 0.05775189399719238,
  'LightGBMXT_BAG_L1': 68.87605547904968,
  'LightGBM_BAG_L1': 36.62293767929077,
  'RandomForestMSE_BAG_L1': 12.58196234703064,
  'CatBoost_BAG_L1': 226.45057725906372,
  'ExtraTreesMSE_BAG_L1': 6.615917921066284,
  'NeuralNetFastAI_BAG_L1': 47.81554627418518,
  'WeightedEnsemble_L2': 0.6782164573669434,
  'LightGBMXT_BAG_L2': 57.99377512931824,
  'LightGBM_BAG_L2': 29.549985647201538,
  'RandomForestMSE_BAG_L2': 31.809759378433228,
  'CatBoost_BAG_L2': 45.783775806427,
  'WeightedEnsemble_L3': 0.38465070724487305},
 'model_pred_times': {'KNeighborsUnif_BAG_L1': 0.10920548439025879,
  'KNeighborsDist_BAG_L1': 0.10402727127075195,
  'LightGBMXT_BAG_L1': 7.535413026809692,
  'LightGBM_BAG_L1': 1.909252643585205,
  'RandomForestMSE_BAG_L1': 0.536217451095581,
  'CatBoost_BAG_L1': 0.24081683158874512,
  'ExtraTreesMSE_BAG_L1': 0.6258144378662109,
  'NeuralNetFastAI_BAG_L1': 0.5383362770080566,
  'WeightedEnsemble_L2': 0.0009784698486328125,
  'LightGBMXT_BAG_L2': 3.4373881816864014,
  'LightGBM_BAG_L2': 0.3551480770111084,
  'RandomForestMSE_BAG_L2': 0.7433798313140869,
  'CatBoost_BAG_L2': 0.10806798934936523,
  'WeightedEnsemble_L3': 0.001004934310913086},
 'num_bag_folds': 8,
 'max_stack_level': 3,
 'model_hyperparams': {'KNeighborsUnif_BAG_L1': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True,
   'use_child_oof': True},
  'KNeighborsDist_BAG_L1': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True,
   'use_child_oof': True},
  'LightGBMXT_BAG_L1': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'LightGBM_BAG_L1': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'RandomForestMSE_BAG_L1': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True,
   'use_child_oof': True},
  'CatBoost_BAG_L1': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'ExtraTreesMSE_BAG_L1': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True,
   'use_child_oof': True},
  'NeuralNetFastAI_BAG_L1': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'WeightedEnsemble_L2': {'use_orig_features': False,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'LightGBMXT_BAG_L2': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'LightGBM_BAG_L2': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'RandomForestMSE_BAG_L2': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True,
   'use_child_oof': True},
  'CatBoost_BAG_L2': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'WeightedEnsemble_L3': {'use_orig_features': False,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True}},
 'leaderboard':                      model   score_val  pred_time_val    fit_time  \
 0      WeightedEnsemble_L3  -52.738155      16.136004  518.793613   
 1   RandomForestMSE_BAG_L2  -53.026317      12.342463  430.865201   
 2          LightGBM_BAG_L2  -54.782052      11.954232  428.605428   
 3          CatBoost_BAG_L2  -57.506986      11.707151  444.839218   
 4        LightGBMXT_BAG_L2  -60.758828      15.036472  457.049217   
 5    KNeighborsDist_BAG_L1  -84.125061       0.104027    0.057752   
 6      WeightedEnsemble_L2  -84.125061       0.105006    0.735968   
 7    KNeighborsUnif_BAG_L1 -101.546199       0.109205    0.034693   
 8   RandomForestMSE_BAG_L1 -116.575654       0.536217   12.581962   
 9     ExtraTreesMSE_BAG_L1 -123.994671       0.625814    6.615918   
 10         LightGBM_BAG_L1 -130.672051       1.909253   36.622938   
 11       LightGBMXT_BAG_L1 -130.773236       7.535413   68.876055   
 12         CatBoost_BAG_L1 -131.714517       0.240817  226.450577   
 13  NeuralNetFastAI_BAG_L1 -141.033959       0.538336   47.815546   
 
     pred_time_val_marginal  fit_time_marginal  stack_level  can_infer  \
 0                 0.001005           0.384651            3       True   
 1                 0.743380          31.809759            2       True   
 2                 0.355148          29.549986            2       True   
 3                 0.108068          45.783776            2       True   
 4                 3.437388          57.993775            2       True   
 5                 0.104027           0.057752            1       True   
 6                 0.000978           0.678216            2       True   
 7                 0.109205           0.034693            1       True   
 8                 0.536217          12.581962            1       True   
 9                 0.625814           6.615918            1       True   
 10                1.909253          36.622938            1       True   
 11                7.535413          68.876055            1       True   
 12                0.240817         226.450577            1       True   
 13                0.538336          47.815546            1       True   
 
     fit_order  
 0          14  
 1          12  
 2          11  
 3          13  
 4          10  
 5           2  
 6           9  
 7           1  
 8           5  
 9           7  
 10          4  
 11          3  
 12          6  
 13          8  }
In [147]:
# Remember to set all negative values to zero
predictor_new_features = predictor_new_features.predict(test)
In [148]:
predictor_new_features.describe()
Out[148]:
count    6493.000000
mean      100.434273
std        89.675568
min         3.341929
25%        20.147358
50%        63.433987
75%       166.067200
max       366.801514
Name: count, dtype: float64
In [149]:
predictor_new_features[predictor_new_features<0]
Out[149]:
Series([], Name: count, dtype: float32)
In [150]:
predictor_new_features[predictor_new_features<0] = 0
In [151]:
submission_new_features = pd.read_csv('sampleSubmission.csv')
In [152]:
# Same submitting predictions
submission_new_features["count"] = predictor_new_features
submission_new_features.to_csv("submission_new_features.csv", index=False)
In [169]:
!kaggle competitions submit -c bike-sharing-demand -f submission_new_features.csv -m "new features"
100%|█████████████████████████████████████████| 188k/188k [00:00<00:00, 362kB/s]
400 - Bad Request - Invalid token
In [170]:
!kaggle competitions submissions -c bike-sharing-demand | tail -n +1 | head -n 6
fileName                     date                 description                        status    publicScore  privateScore  
---------------------------  -------------------  ---------------------------------  --------  -----------  ------------  
submission_new_hpo.csv       2023-07-16 22:22:07  new features with hyperparameters  complete  1.31864      1.31864       
submission_new_features.csv  2023-07-16 21:57:45  new features                       complete  0.64822      0.64822       
submission_new_features.csv  2023-07-16 21:45:48  new features                       complete  0.64780      0.64780       
submission.csv               2023-07-16 21:32:03  first raw submission               complete  1.79875      1.79875       

New Score of 0.64¶

Step 6: Hyper parameter optimization¶

  • There are many options for hyper parameter optimization.
  • Options are to change the AutoGluon higher level parameters or the individual model hyperparameters.
  • The hyperparameters of the models themselves that are in AutoGluon. Those need the hyperparameter and hyperparameter_tune_kwargs arguments.
In [155]:
nn_options = {  
    'num_epochs': 10,  
    'learning_rate': ag.space.Real(1e-4, 1e-2, default=5e-4, log=True),  
    'activation': ag.space.Categorical('relu', 'softrelu', 'tanh'),  
    'layers': ag.space.Categorical([100], [1000], [200, 100], [300, 200, 100]),  
    'dropout_prob': ag.space.Real(0.0, 0.5, default=0.1), 
}
gbm_options = { 
    'num_boost_round': 150, 
    'num_leaves': ag.space.Int(lower=26, upper=66, default=36)
}

rf_options = { 
        'max_depth': ag.space.Int(lower=1, upper=20, default=0),
        'n_estimators': ag.space.Int(70, 500, default=150),
        'criterion': ag.space.Categorical('gini', 'entropy'),
        'min_samples_split': ag.space.Int(1, 15, default=5)
}



hyperparameters = {  # hyperparameters of each model type
                   'GBM': gbm_options,
                   'NN': nn_options
                  ,'RF': rf_options
                  } 


hyperparameter_tune_kwargs = {
    'num_folds': 10,
    'num_bagging_folds': 3,
    'ag_args_fit': {'early_stopping_rounds': 20},
    'num_trails' : 20,
    'scheduler' : 'local',
    'searcher' : 'auto'}
In [156]:
predictor_new_hpo = TabularPredictor(label = 'count', 
                                     eval_metric = 'rmse').fit(train, 
                                                                hyperparameters= hyperparameters, 
                                                                hyperparameter_tune_kwargs=hyperparameter_tune_kwargs,
                                                                time_limit = 600,
                                                                presets = 'best_quality'
                                                              )
No path specified. Models will be saved in: "AutogluonModels/ag-20230716_221231/"
Presets specified: ['best_quality']
Warning: hyperparameter tuning is currently experimental and may cause the process to hang.
Stack configuration (auto_stack=True): num_stack_levels=1, num_bag_folds=8, num_bag_sets=20
Beginning AutoGluon training ... Time limit = 600s
AutoGluon will save models to "AutogluonModels/ag-20230716_221231/"
AutoGluon Version:  0.6.2
Python Version:     3.7.10
Operating System:   Linux
Platform Machine:   x86_64
Platform Version:   #1 SMP Tue May 23 16:44:05 UTC 2023
Train Data Rows:    10886
Train Data Columns: 12
Label Column: count
Preprocessing data ...
AutoGluon infers your prediction problem is: 'regression' (because dtype of label-column == int and many unique label-values observed).
	Label info (max, min, mean, stddev): (977, 1, 191.57413, 181.14445)
	If 'regression' is not the correct problem_type, please manually specify the problem_type parameter during predictor init (You may specify problem_type as one of: ['binary', 'multiclass', 'regression'])
Using Feature Generators to preprocess the data ...
Fitting AutoMLPipelineFeatureGenerator...
	Available Memory:                    1833.52 MB
	Train Data (Original)  Memory Usage: 0.74 MB (0.0% of available memory)
	Inferring data type of each feature based on column values. Set feature_metadata_in to manually specify special dtypes of the features.
	Stage 1 Generators:
		Fitting AsTypeFeatureGenerator...
			Note: Converting 3 features to boolean dtype as they only contain 2 unique values.
	Stage 2 Generators:
		Fitting FillNaFeatureGenerator...
	Stage 3 Generators:
		Fitting IdentityFeatureGenerator...
		Fitting CategoryFeatureGenerator...
			Fitting CategoryMemoryMinimizeFeatureGenerator...
		Fitting DatetimeFeatureGenerator...
/usr/local/lib/python3.7/site-packages/autogluon/features/generators/datetime.py:59: FutureWarning: casting datetime64[ns, UTC] values to int64 with .astype(...) is deprecated and will raise in a future version. Use .view(...) instead.
  good_rows = series[~series.isin(bad_rows)].astype(np.int64)
	Stage 4 Generators:
		Fitting DropUniqueFeatureGenerator...
	Types of features in original data (raw dtype, special dtypes):
		('category', []) : 4 | ['season', 'holiday', 'workingday', 'weather']
		('datetime', []) : 1 | ['datetime']
		('float', [])    : 3 | ['temp', 'atemp', 'windspeed']
		('int', [])      : 4 | ['humidity', 'year', 'month', 'day']
	Types of features in processed data (raw dtype, special dtypes):
		('category', [])             : 2 | ['season', 'weather']
		('float', [])                : 3 | ['temp', 'atemp', 'windspeed']
		('int', [])                  : 3 | ['humidity', 'month', 'day']
		('int', ['bool'])            : 3 | ['holiday', 'workingday', 'year']
		('int', ['datetime_as_int']) : 5 | ['datetime', 'datetime.year', 'datetime.month', 'datetime.day', 'datetime.dayofweek']
	0.2s = Fit runtime
	12 features in original data used to generate 16 features in processed data.
	Train Data (Processed) Memory Usage: 1.01 MB (0.1% of available memory)
Data preprocessing and feature engineering runtime = 0.27s ...
AutoGluon will gauge predictive performance using evaluation metric: 'root_mean_squared_error'
	This metric's sign has been flipped to adhere to being higher_is_better. The metric score can be multiplied by -1 to get the metric value.
	To change this, specify the eval_metric parameter of Predictor()
AutoGluon will fit 2 stack levels (L1 to L2) ...
	WARNING: "NN" model has been deprecated in v0.4.0 and renamed to "NN_MXNET". Starting in v0.6.0, specifying "NN" or "NN_MXNET" will raise an exception. Consider instead specifying "NN_TORCH".
Fitting 3 L1 models ...
Hyperparameter tuning model: LightGBM_BAG_L1 ... Tuning model for up to 119.92s of the 599.72s of remaining time.
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
	Stopping HPO to satisfy time limit...
Fitted model: LightGBM_BAG_L1/T1 ...
	-134.125	 = Validation score   (-root_mean_squared_error)
	26.11s	 = Training   runtime
	0.0s	 = Validation runtime
Fitted model: LightGBM_BAG_L1/T2 ...
	-133.7586	 = Validation score   (-root_mean_squared_error)
	27.43s	 = Training   runtime
	0.0s	 = Validation runtime
Fitted model: LightGBM_BAG_L1/T3 ...
	-133.0398	 = Validation score   (-root_mean_squared_error)
	28.15s	 = Training   runtime
	0.0s	 = Validation runtime
Fitted model: LightGBM_BAG_L1/T4 ...
	-149.8407	 = Validation score   (-root_mean_squared_error)
	24.13s	 = Training   runtime
	0.0s	 = Validation runtime
Hyperparameter tuning model: RandomForest_BAG_L1 ... Tuning model for up to 119.92s of the 493.57s of remaining time.
max_depth must be greater than zero. 
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 306, in fit
    raise ValueError("max_depth must be greater than zero. ")
ValueError: max_depth must be greater than zero. 
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
    % self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
    % self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
    % self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
    % self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
    % self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
    % self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
    % self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
    % self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
    % self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
    % self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
    % self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
    % self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
    % self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
    % self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
    % self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
    % self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
    % self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
    % self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
    % self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
    % self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
    % self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
    % self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
    % self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
	Stopping HPO to satisfy time limit...
No model was trained during hyperparameter tuning RandomForest_BAG_L1... Skipping this model.
Hyperparameter tuning model: NeuralNetMXNet_BAG_L1 ... Tuning model for up to 119.92s of the 373.71s of remaining time.
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=21388, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
    n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
    fold_fitting_strategy.after_all_folds_scheduled()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
    raise processed_exception
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
    time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=21388, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:16:25,377	ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): ray::_ray_fit() (pid=21387, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=21449, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
    n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
    fold_fitting_strategy.after_all_folds_scheduled()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
    raise processed_exception
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
    time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=21449, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:16:32,321	ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=21515, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
    n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
    fold_fitting_strategy.after_all_folds_scheduled()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
    raise processed_exception
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
    time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=21515, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:16:38,523	ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=21577, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
    n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
    fold_fitting_strategy.after_all_folds_scheduled()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
    raise processed_exception
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
    time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=21577, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:16:44,346	ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=21643, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
    n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
    fold_fitting_strategy.after_all_folds_scheduled()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
    raise processed_exception
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
    time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=21643, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:16:50,325	ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=21711, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
    n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
    fold_fitting_strategy.after_all_folds_scheduled()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
    raise processed_exception
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
    time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=21711, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
2023-07-16 22:16:56,607	ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
ray::_ray_fit() (pid=21773, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
    n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
    fold_fitting_strategy.after_all_folds_scheduled()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
    raise processed_exception
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
    time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=21773, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:17:03,699	ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=21868, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
    n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
    fold_fitting_strategy.after_all_folds_scheduled()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
    raise processed_exception
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
    time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=21868, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
2023-07-16 22:17:09,909	ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
ray::_ray_fit() (pid=21934, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
    n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
    fold_fitting_strategy.after_all_folds_scheduled()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
    raise processed_exception
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
    time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=21934, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:17:15,552	ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=22028, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
    n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
    fold_fitting_strategy.after_all_folds_scheduled()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
    raise processed_exception
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
    time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=22028, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:17:20,855	ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=22093, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
    n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
    fold_fitting_strategy.after_all_folds_scheduled()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
    raise processed_exception
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
    time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=22093, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:17:26,141	ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=22161, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
    n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
    fold_fitting_strategy.after_all_folds_scheduled()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
    raise processed_exception
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
    time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=22161, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:17:31,565	ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=22224, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
    n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
    fold_fitting_strategy.after_all_folds_scheduled()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
    raise processed_exception
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
    time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=22224, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:17:36,867	ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=22286, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
    n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
    fold_fitting_strategy.after_all_folds_scheduled()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
    raise processed_exception
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
    time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=22286, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:17:42,122	ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=22346, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
    n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
    fold_fitting_strategy.after_all_folds_scheduled()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
    raise processed_exception
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
    time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=22346, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:17:47,447	ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=22415, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
    n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
    fold_fitting_strategy.after_all_folds_scheduled()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
    raise processed_exception
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
    time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=22415, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:17:53,950	ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=22507, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
    n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
    fold_fitting_strategy.after_all_folds_scheduled()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
    raise processed_exception
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
    time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=22507, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
2023-07-16 22:18:00,978	ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
ray::_ray_fit() (pid=22572, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
    n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
    fold_fitting_strategy.after_all_folds_scheduled()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
    raise processed_exception
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
    time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=22572, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
2023-07-16 22:18:08,004	ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
ray::_ray_fit() (pid=22667, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
    n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
    fold_fitting_strategy.after_all_folds_scheduled()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
    raise processed_exception
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
    time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=22667, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
	Stopping HPO to satisfy time limit...
No model was trained during hyperparameter tuning NeuralNetMXNet_BAG_L1... Skipping this model.
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L2 ... Training model for up to 360.0s of the 258.01s of remaining time.
2023-07-16 22:18:13,851	ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
	-132.7989	 = Validation score   (-root_mean_squared_error)
	0.94s	 = Training   runtime
	0.0s	 = Validation runtime
	WARNING: "NN" model has been deprecated in v0.4.0 and renamed to "NN_MXNET". Starting in v0.6.0, specifying "NN" or "NN_MXNET" will raise an exception. Consider instead specifying "NN_TORCH".
Fitting 3 L2 models ...
Hyperparameter tuning model: LightGBM_BAG_L2 ... Tuning model for up to 77.08s of the 256.91s of remaining time.
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
	Stopping HPO to satisfy time limit...
Fitted model: LightGBM_BAG_L2/T1 ...
	-132.2595	 = Validation score   (-root_mean_squared_error)
	25.2s	 = Training   runtime
	0.0s	 = Validation runtime
Fitted model: LightGBM_BAG_L2/T2 ...
	-132.2635	 = Validation score   (-root_mean_squared_error)
	23.45s	 = Training   runtime
	0.0s	 = Validation runtime
Fitted model: LightGBM_BAG_L2/T3 ...
	-132.9368	 = Validation score   (-root_mean_squared_error)
	25.62s	 = Training   runtime
	0.0s	 = Validation runtime
Hyperparameter tuning model: RandomForest_BAG_L2 ... Tuning model for up to 77.08s of the 182.31s of remaining time.
max_depth must be greater than zero. 
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 306, in fit
    raise ValueError("max_depth must be greater than zero. ")
ValueError: max_depth must be greater than zero. 
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
    % self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
    % self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
    % self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
    % self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
    % self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
    % self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
    % self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
    % self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
    % self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
    % self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
    % self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
    % self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
    % self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
    self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
    model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
    model = model.fit(X, y, sample_weight=sample_weight)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
    self.retrieve()
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
    raise self._value
  File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
    return self.func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
    criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
	Stopping HPO to satisfy time limit...
No model was trained during hyperparameter tuning RandomForest_BAG_L2... Skipping this model.
Hyperparameter tuning model: NeuralNetMXNet_BAG_L2 ... Tuning model for up to 77.08s of the 105.29s of remaining time.
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=24636, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
    n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
    fold_fitting_strategy.after_all_folds_scheduled()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
    raise processed_exception
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
    time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=24636, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:20:52,526	ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=24693, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
    n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
    fold_fitting_strategy.after_all_folds_scheduled()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
    raise processed_exception
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
    time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=24693, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
2023-07-16 22:20:59,213	ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
ray::_ray_fit() (pid=24785, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
    n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
    fold_fitting_strategy.after_all_folds_scheduled()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
    raise processed_exception
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
    time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=24785, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:21:05,610	ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=24851, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
    n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
    fold_fitting_strategy.after_all_folds_scheduled()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
    raise processed_exception
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
    time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=24851, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:21:11,982	ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=24919, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
    n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
    fold_fitting_strategy.after_all_folds_scheduled()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
    raise processed_exception
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
    time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=24919, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:21:18,821	ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=25014, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
    n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
    fold_fitting_strategy.after_all_folds_scheduled()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
    raise processed_exception
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
    time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=25014, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:21:24,828	ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=25074, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
    n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
    fold_fitting_strategy.after_all_folds_scheduled()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
    raise processed_exception
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
    time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=25074, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:21:31,458	ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=25169, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
    n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
    fold_fitting_strategy.after_all_folds_scheduled()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
    raise processed_exception
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
    time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=25169, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:21:37,558	ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=25234, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
    n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
    fold_fitting_strategy.after_all_folds_scheduled()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
    raise processed_exception
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
    time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=25234, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
2023-07-16 22:21:43,510	ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
ray::_ray_fit() (pid=25300, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
    n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
    fold_fitting_strategy.after_all_folds_scheduled()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
    raise processed_exception
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
    time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=25300, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:21:49,330	ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=25389, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
    n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
    fold_fitting_strategy.after_all_folds_scheduled()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
    raise processed_exception
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
    time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=25389, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:21:54,794	ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
	Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=25452, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
    time_limit=time_limit,
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
    model.fit(**fit_args, time_limit=time_left)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
    n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
    fold_fitting_strategy.after_all_folds_scheduled()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
    raise processed_exception
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
    time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=25452, ip=169.255.255.2)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
    time_limit=time_limit_fold, **resources, **kwargs_fold)
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
    out = self._fit(**kwargs)
  File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
    try_import_mxnet()
  File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
    import mxnet as mx
  File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
    from ... import numpy_extension as _mx_npx
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
    from ..image import *  # pylint: disable=wildcard-import, unused-wildcard-import
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
    from . import image
  File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
    if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
    py_module = importlib.import_module(module_name)
  File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
    cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
	Stopping HPO to satisfy time limit...
No model was trained during hyperparameter tuning NeuralNetMXNet_BAG_L2... Skipping this model.
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L3 ... Training model for up to 360.0s of the 31.46s of remaining time.
2023-07-16 22:22:00,317	ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
	-132.0344	 = Validation score   (-root_mean_squared_error)
	0.49s	 = Training   runtime
	0.0s	 = Validation runtime
AutoGluon training complete, total runtime = 569.33s ... Best model: "WeightedEnsemble_L3"
TabularPredictor saved. To load, use: predictor = TabularPredictor.load("AutogluonModels/ag-20230716_221231/")
In [157]:
predictor_new_hpo.fit_summary()
*** Summary of fit() ***
Estimated performance of each model:
                 model   score_val  pred_time_val    fit_time  pred_time_val_marginal  fit_time_marginal  stack_level  can_infer  fit_order
0  WeightedEnsemble_L3 -132.034394       0.001862  180.584721                0.001131           0.489920            3       True          9
1   LightGBM_BAG_L2/T1 -132.259522       0.000556  131.024630                0.000079          25.196681            2       True          6
2   LightGBM_BAG_L2/T2 -132.263461       0.000559  129.280446                0.000082          23.452497            2       True          7
3  WeightedEnsemble_L2 -132.798886       0.001544   56.521158                0.001290           0.942062            2       True          5
4   LightGBM_BAG_L2/T3 -132.936823       0.000570  131.445622                0.000093          25.617674            2       True          8
5   LightGBM_BAG_L1/T3 -133.039832       0.000120   28.150748                0.000120          28.150748            1       True          3
6   LightGBM_BAG_L1/T2 -133.758554       0.000134   27.428348                0.000134          27.428348            1       True          2
7   LightGBM_BAG_L1/T1 -134.125048       0.000101   26.114660                0.000101          26.114660            1       True          1
8   LightGBM_BAG_L1/T4 -149.840675       0.000122   24.134192                0.000122          24.134192            1       True          4
Number of models trained: 9
Types of models trained:
{'StackerEnsembleModel_LGB', 'WeightedEnsembleModel'}
Bagging used: True  (with 8 folds)
Multi-layer stack-ensembling used: True  (with 3 levels)
Feature Metadata (Processed):
(raw dtype, special dtypes):
('category', [])             : 2 | ['season', 'weather']
('float', [])                : 3 | ['temp', 'atemp', 'windspeed']
('int', [])                  : 3 | ['humidity', 'month', 'day']
('int', ['bool'])            : 3 | ['holiday', 'workingday', 'year']
('int', ['datetime_as_int']) : 5 | ['datetime', 'datetime.year', 'datetime.month', 'datetime.day', 'datetime.dayofweek']
Plot summary of models saved to file: AutogluonModels/ag-20230716_221231/SummaryOfModels.html
*** End of fit() summary ***
Out[157]:
{'model_types': {'LightGBM_BAG_L1/T1': 'StackerEnsembleModel_LGB',
  'LightGBM_BAG_L1/T2': 'StackerEnsembleModel_LGB',
  'LightGBM_BAG_L1/T3': 'StackerEnsembleModel_LGB',
  'LightGBM_BAG_L1/T4': 'StackerEnsembleModel_LGB',
  'WeightedEnsemble_L2': 'WeightedEnsembleModel',
  'LightGBM_BAG_L2/T1': 'StackerEnsembleModel_LGB',
  'LightGBM_BAG_L2/T2': 'StackerEnsembleModel_LGB',
  'LightGBM_BAG_L2/T3': 'StackerEnsembleModel_LGB',
  'WeightedEnsemble_L3': 'WeightedEnsembleModel'},
 'model_performance': {'LightGBM_BAG_L1/T1': -134.1250480889158,
  'LightGBM_BAG_L1/T2': -133.7585544282497,
  'LightGBM_BAG_L1/T3': -133.03983204086617,
  'LightGBM_BAG_L1/T4': -149.84067525384376,
  'WeightedEnsemble_L2': -132.79888556957542,
  'LightGBM_BAG_L2/T1': -132.25952161897303,
  'LightGBM_BAG_L2/T2': -132.2634614506834,
  'LightGBM_BAG_L2/T3': -132.93682282473787,
  'WeightedEnsemble_L3': -132.03439356613123},
 'model_best': 'WeightedEnsemble_L3',
 'model_paths': {'LightGBM_BAG_L1/T1': '/root/cd0385-project-starter/project/AutogluonModels/ag-20230716_221231/models/LightGBM_BAG_L1/T1/',
  'LightGBM_BAG_L1/T2': '/root/cd0385-project-starter/project/AutogluonModels/ag-20230716_221231/models/LightGBM_BAG_L1/T2/',
  'LightGBM_BAG_L1/T3': '/root/cd0385-project-starter/project/AutogluonModels/ag-20230716_221231/models/LightGBM_BAG_L1/T3/',
  'LightGBM_BAG_L1/T4': '/root/cd0385-project-starter/project/AutogluonModels/ag-20230716_221231/models/LightGBM_BAG_L1/T4/',
  'WeightedEnsemble_L2': 'AutogluonModels/ag-20230716_221231/models/WeightedEnsemble_L2/',
  'LightGBM_BAG_L2/T1': '/root/cd0385-project-starter/project/AutogluonModels/ag-20230716_221231/models/LightGBM_BAG_L2/T1/',
  'LightGBM_BAG_L2/T2': '/root/cd0385-project-starter/project/AutogluonModels/ag-20230716_221231/models/LightGBM_BAG_L2/T2/',
  'LightGBM_BAG_L2/T3': '/root/cd0385-project-starter/project/AutogluonModels/ag-20230716_221231/models/LightGBM_BAG_L2/T3/',
  'WeightedEnsemble_L3': 'AutogluonModels/ag-20230716_221231/models/WeightedEnsemble_L3/'},
 'model_fit_times': {'LightGBM_BAG_L1/T1': 26.114660024642944,
  'LightGBM_BAG_L1/T2': 27.42834758758545,
  'LightGBM_BAG_L1/T3': 28.150748252868652,
  'LightGBM_BAG_L1/T4': 24.13419222831726,
  'WeightedEnsemble_L2': 0.9420616626739502,
  'LightGBM_BAG_L2/T1': 25.1966814994812,
  'LightGBM_BAG_L2/T2': 23.452497482299805,
  'LightGBM_BAG_L2/T3': 25.617673873901367,
  'WeightedEnsemble_L3': 0.48991990089416504},
 'model_pred_times': {'LightGBM_BAG_L1/T1': 0.00010132789611816406,
  'LightGBM_BAG_L1/T2': 0.00013375282287597656,
  'LightGBM_BAG_L1/T3': 0.00012040138244628906,
  'LightGBM_BAG_L1/T4': 0.00012159347534179688,
  'WeightedEnsemble_L2': 0.0012903213500976562,
  'LightGBM_BAG_L2/T1': 7.891654968261719e-05,
  'LightGBM_BAG_L2/T2': 8.20159912109375e-05,
  'LightGBM_BAG_L2/T3': 9.274482727050781e-05,
  'WeightedEnsemble_L3': 0.001131296157836914},
 'num_bag_folds': 8,
 'max_stack_level': 3,
 'model_hyperparams': {'LightGBM_BAG_L1/T1': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'LightGBM_BAG_L1/T2': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'LightGBM_BAG_L1/T3': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'LightGBM_BAG_L1/T4': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'WeightedEnsemble_L2': {'use_orig_features': False,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'LightGBM_BAG_L2/T1': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'LightGBM_BAG_L2/T2': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'LightGBM_BAG_L2/T3': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'WeightedEnsemble_L3': {'use_orig_features': False,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True}},
 'leaderboard':                  model   score_val  pred_time_val    fit_time  \
 0  WeightedEnsemble_L3 -132.034394       0.001862  180.584721   
 1   LightGBM_BAG_L2/T1 -132.259522       0.000556  131.024630   
 2   LightGBM_BAG_L2/T2 -132.263461       0.000559  129.280446   
 3  WeightedEnsemble_L2 -132.798886       0.001544   56.521158   
 4   LightGBM_BAG_L2/T3 -132.936823       0.000570  131.445622   
 5   LightGBM_BAG_L1/T3 -133.039832       0.000120   28.150748   
 6   LightGBM_BAG_L1/T2 -133.758554       0.000134   27.428348   
 7   LightGBM_BAG_L1/T1 -134.125048       0.000101   26.114660   
 8   LightGBM_BAG_L1/T4 -149.840675       0.000122   24.134192   
 
    pred_time_val_marginal  fit_time_marginal  stack_level  can_infer  \
 0                0.001131           0.489920            3       True   
 1                0.000079          25.196681            2       True   
 2                0.000082          23.452497            2       True   
 3                0.001290           0.942062            2       True   
 4                0.000093          25.617674            2       True   
 5                0.000120          28.150748            1       True   
 6                0.000134          27.428348            1       True   
 7                0.000101          26.114660            1       True   
 8                0.000122          24.134192            1       True   
 
    fit_order  
 0          9  
 1          6  
 2          7  
 3          5  
 4          8  
 5          3  
 6          2  
 7          1  
 8          4  }
In [158]:
# Remember to set all negative values to zero
predictions_new_hpo = predictor_new_hpo.predict(test) 
In [159]:
sum(predictions_new_hpo<0)
Out[159]:
0
In [160]:
predictions_new_hpo.describe()
Out[160]:
count    6493.000000
mean      198.266785
std       122.174301
min        37.274780
25%       107.854836
50%       163.917770
75%       274.925110
max       607.327148
Name: count, dtype: float64
In [161]:
predictions_new_hpo[predictions_new_hpo<0] = 0
In [162]:
submission_new_hpo = pd.read_csv('sampleSubmission.csv')
In [163]:
# Same submitting predictions
submission_new_hpo["count"] = predictions_new_hpo
submission_new_hpo.to_csv("submission_new_hpo.csv", index=False)
In [164]:
!kaggle competitions submit -c bike-sharing-demand -f submission_new_hpo.csv -m "new features with hyperparameters"
100%|█████████████████████████████████████████| 188k/188k [00:00<00:00, 312kB/s]
Successfully submitted to Bike Sharing Demand
In [167]:
!kaggle competitions submissions -c bike-sharing-demand | tail -n +1 | head -n 6
fileName                     date                 description                        status    publicScore  privateScore  
---------------------------  -------------------  ---------------------------------  --------  -----------  ------------  
submission_new_hpo.csv       2023-07-16 22:22:07  new features with hyperparameters  complete  1.31864      1.31864       
submission_new_features.csv  2023-07-16 21:57:45  new features                       complete  0.64822      0.64822       
submission_new_features.csv  2023-07-16 21:45:48  new features                       complete  0.64780      0.64780       
submission.csv               2023-07-16 21:32:03  first raw submission               complete  1.79875      1.79875       

New Score of 1.31¶

Step 7: Write a Report¶

Refer to the markdown file for the full report¶

Creating plots and table for report¶

In [ ]:
 
In [171]:
# Taking the top model score from each training run and creating a line plot to show improvement
# You can create these in the notebook and save them to PNG or use some other tool (e.g. google sheets, excel)
fig = pd.DataFrame(
    {
        "model": ["initial", "add_features", "hpo"],
        "score": [-53.011781 , -52.738155 , -132.034394]
    }
).plot(x="model", y="score", figsize=(8, 6)).get_figure()
fig.savefig('model_train_score.png')
In [172]:
# Take the 3 kaggle scores and creating a line plot to show improvement
fig = pd.DataFrame(
    {
        "test_eval": ["initial", "add_features", "hpo"],
        "score": [1.79, 0.64, 1.31]
    }
).plot(x="test_eval", y="score", figsize=(8, 6)).get_figure()
fig.savefig('model_test_score.png')

Hyperparameter table¶

In [174]:
# The 3 hyperparameters we tuned with the kaggle score as the result
pd.DataFrame({
    "model": ["initial", "add_features", "hpo"],
    "num_folds": ['default', 'default', 10],
    "scheduler": ['default', 'default', 'local'],
    "searcher": ['default', 'default', 'auto'],
    "num_trials": ['default', 'default', 20],
    "score": [1.79, 0.64, 1.31]
})
Out[174]:
model num_folds scheduler searcher num_trials score
0 initial default default default default 1.79
1 add_features default default default default 0.64
2 hpo 10 local auto 20 1.31
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